AWS (CSYE 6225)

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Summary

This is a web application Library Information Management System built with NodeJS and Sequelize ORM with MySQL as database.

• EC2 instances are built on a custom AMI using packer
• Setting up the network and creation of resources is automated with Terraform, aws cli and shell scripts
• Instances are autoscaled with ELB to handle the web traffic
• Created a serverless application to facilitate "book add and book delete email" using SES and SNS
• The application is deployed with GitHub Actions and AWS Code Deploy

Architecture Diagram

Tools and Technologies

Infrastructure	VPC, ELB, EC2, Route53, Cloud formation, Shell, Packer
Webapp	JavaScript, NodeJS, Express, MySQL, Sequelize
CI/CD	GitHub Actions, AWS Code Deploy
Alerting and logging	statsd, CloudWatch, SNS, SES, Lambda
Security	Security Groups, IAM,WAF

Infrastructure-setup

• Create the networking setup using Terraform
• Create the required IAM policies and users
• Setup Load Balancers, Route53, DynamoDB, SNS, SES, RDS

Webapp

• The Library Information Management System Web application is developed using NodeJS Express framework that uses the REST architecture
• Secured the application with Basic Authentication Security to retrieve user information
• Created NPM dependencies to run the app locally and when deployed on AWS
• Storing the images of books in S3

Build Instructions

Pre-Requisites: Need to have postman installed

• Install Node NodeJS if not already installed in the local machine
• Clone this repository into the local system
• Go to the folder /webapp
• Download all npm dependencies by running "npm install"
• Run Webapp Application by typing *node server.js*

Running Tests

• Used mocha framework and junit for load testing test case.
• Run WebappApplication test cases: ***node apptest.js***

CI/CD

• Created yml files in workflows folder for GitHub actions.
• Bootstrapped the docker container in GitHub Actions to run the unit tests, integration tests and generate the artifact
• The artifact generated is stored S3 bucket and deployed to an autoscaling group.

Auto scaling groups

• Created auto scaling groups to scale to the application to handle the webtraffic and keep the costs low when traffic is low
• Created cloud watch alarms to scale up and scale down the EC2 instances

Serverless computing

• Created a pub/sub system with SNS and lambda function
• When the user request for a list of url to view added or deleted books within span of "c" days, send message is published to the SNS topic.
• The lambda function checks for the entry of the emails in DynamoDB if it has no entry then it inserts a record with a TTL of 15 minutes and sends the notification to the user with SES ![alt text]

Packer

• Implemented CI to build out an AMI and share it between organization on AWS
• Created provisioners and bootstrapped the EC2 instance with required tools like NodeJS, Terraform

Team Information

Name	NEU ID	Email Address
ADITYA DESHPANDE	001306705	deshpande.ad@northeastern.edu